Solution Engineer
About The Position
The Solution Engineer will join the core deployment team and help bring physical AI agents—intelligent, embodied systems that interact with people in the real world—from the lab to venues such as airports, stadiums, conference centers, and retail spaces. The role involves end-to-end deployment ownership, including building, testing, and deploying AI-powered hardware systems in live environments. The engineer will set up and troubleshoot screens, sensors, networking gear, and edge compute devices; write production software using tools such as Python, TypeScript, and APIs; and lead or support deployments at major events and high-profile locations. The role also includes presenting demonstrations to customers, partners, and VIPs, communicating with technical and non-technical audiences, and sharing field observations with engineering and product teams to inform product development. The position is full-time and on-site in Palo Alto, California.
Requirements
- Experience delivering enterprise software at a startup or running enterprise projects at a consulting firm is preferred; candidates should know how to ship for demanding customers and manage delivery end to end.
- Ability to code in Python, JavaScript/TypeScript, or both, with experience building and shipping beyond the stated specification.
- Genuine interest in AI, including how LLMs, computer vision, and multimodal models work.
- Willingness to handle hardware setup, carry equipment, run cables, and troubleshoot on-site.
- Clear communication skills for technical and non-technical audiences.
- Ability to stay calm, adapt, and solve problems amid startup and deployment uncertainties.
- Team-oriented attitude and positive energy.
Nice To Haves
- Experience with LLM frameworks such as LangChain or LlamaIndex, prompt engineering, or RAG pipelines.
- Familiarity with edge computing, IoT, AV systems, or robotics.
- Prior startup or hackathon experience shipping something under pressure.
- Background in computer science, electrical engineering, information systems, or a related technical field.
Responsibilities
- Build, test, and deploy AI-powered hardware systems at real-world venues, owning deployments end to end.
- Set up and troubleshoot screens, sensors, networking gear, and edge compute devices on-site.
- Write software for AI agents using Python, TypeScript, APIs, and integrations, and contribute production code to the engineering codebase.
- Lead and support deployments at major events and high-profile locations.
- Present demonstrations to customers, partners, and VIPs, explaining the AI to technical and non-technical audiences.
- Share observations from deployments with engineering and product teams to influence product development.
Benefits
- Equity
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
